Wavelet analysis applied to SAR images to detect atmospheric structures

Zecchetto, S. and De Biasio, F. (2001) Wavelet analysis applied to SAR images to detect atmospheric structures. Il nuovo cimento C, 24 C (1). pp. 81-88. ISSN 1826-9885

ncc8480.pdf - Published Version

Download (109kB) | Preview
Official URL: https://www.sif.it/riviste/sif/ncc/econtents/2001/...


The aim of this work is to evaluate the possibilities offered by the wavelet analysis in the study of the spatial structure of the radar backscatter, which is linked to the spatial structure of the marine atmospheric boundary layer. Continuous wavelet analysis has been applied to a SAR image of the sea surface, previously analysed by the more classical Conditional Sampling technique. The main problem coped with has been to select, among the large number of wavelet maps produced by the analysis (256), those containing the more energetic backscatter structures. Since the phenomenon imaged by SAR was the convective turbulence, a multiscale and quasi-periodic or intermittent process, a selection of wavelet maps according to their mean energy was unsuccessful. On the contrary, a method based on the calculation of the standard deviation of the less probable highest wavelet amplitudes led to a right selection of the wavelet maps and to a convincing reconstruction of the map of backscatter structures, which resulted similar to that provided through the Conditional Sampling.

Item Type: Article
Additional Information: Paper presented at the Workshop on Synthetic Aperture Radar (SAR), Florence, 25-26 February, 1998.
Uncontrolled Keywords: Boundary layer structure and processes ; Sea-air energy exchange processes ; Time series analysis ; Boundary layer and shear turbulence
Subjects: 500 Scienze naturali e Matematica > 550 Scienze della Terra > 551 Geologia, Idrologia, Meteorologia
Depositing User: Marina Spanti
Date Deposited: 10 Mar 2020 17:51
Last Modified: 10 Mar 2020 17:51
URI: http://eprints.bice.rm.cnr.it/id/eprint/14040

Actions (login required)

View Item View Item